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Applied Statistics and Financial Modelling MSc

Applied Statistics and Financial Modelling MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Applied Statistics Financial Modelling

Course type

Taught

Course Summary

While practically orientated, this MSc in Applied Statistics and Financial Modelling proceeds from a strong theoretical background so as to develop your ability to tackle new and non-standard problems with confidence. The mutual dependence of practice and theory is emphasised wherever possible.

The programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the use of advanced stochastic modelling techniques in the area of quantitative finance. It covers both theory and application of stochastic and statistical modelling techniques required to solve applied problems in industry, the public services, scientific research and commerce.

The programme has been specially designed to meet the personal and career development needs of people who want to continue working while also studying in the evening. Many of our students are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures.

Accredited by the Royal Statistical Society - graduates are normally granted Graduate Statistician (GradStat) status.

TEACHING

Teaching may include formal lectures, seminars, and practical classes and tutorials. Formal lectures are used in most degree programmes to give an overview of a particular field of study. They aim to provide the stimulus and the starting point for deeper exploration of the subject during your own personal reading. Seminars give you the chance to explore a specific aspect of your subject in depth and to discuss and exchange ideas with fellow students. They typically require preparatory study.

CAREERS AND EMPLOYABILITY

Graduates can pursue careers in data collection, research, and analysis, modelling and forecasting. Possible professions include statistician, operational researcher, or research scientist (maths). This degree may also be useful in becoming a forensic statistician or higher education lecturer.

Different course options

Full time | Birkbeck, Central London WC1 | 1 year | OCT-20

Study mode

Full time

Duration

1 year

Start date

OCT-20

Modules

This module introduces you to continuous time stochastic processes and to stochastic differential calculus, in particular the stochastic differential equations (SDE) that arise in quantitative finance, as well as many other applied areas. You will learn some of the main numerical solution techniques used to solve SDE.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£13,020

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£19,020

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A second-class honours degree or above, with mathematics or statistics as a main subject. Other degrees or professional qualifications may also be acceptable, such as the Birkbeck Graduate Certificate in Statistics or the Graduate Diploma of the Royal Statistical Society.

University information

With a history that dates back 200 years, Birkbeck, University of London is unique in that it delivers its near-300 postgraduate courses in the evenings, enabling students to work or focus on other commitments during the day. Courses can be studied full-time or part-time and some can be studied through distance learning. Birkbeck is one of the world’s leading research universities and provides its 700 postgraduate research student with a...more

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